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This study aims to investigate the relationships between firms’ strategic planning (SP), leadership and technology transfer competence (TTC) by specifically incorporating the mediating role of strategic quality management (SQM).

This study performs structural equation modeling using AMOS on survey data collected from 200 Turkish firms operating in multiple industries and sectors.

This study finds that leadership in Turkish firms operating in multiple sectors is positively associated with SQM. This study further finds that SQM positively influences Turkish firms’ TTC and mediates the roles of SP and leadership in TTC.

A key research implication from this study relates to the mediating role of SQM in TTC in an emerging economy context. This study highlights that SP and leadership can play an essential role in TTC through the mediating mechanism of SQM. Consequently, SQM emerges as a crucial linking pin in conveying the impact of quality management practices on technology transfer in emerging markets.

An essential managerial implication of this study relates to the critical roles of leadership, SP and SQM in TTC. For the managers of firms operating in a relatively uncertain emerging context such as Turkey, it is essential to adopt a supportive and empowering leadership style, where open communication and innovative activities are viewed positively and SQM is adopted holistically. Also, SP should be streamlined throughout the firm and followed by SQM to support TTC.

This paper links the technology (and knowledge) management and the strategy and leadership literature streams by focusing on the mechanisms of technology transfer and delving into the linkages between SQM, leadership, SP and TTC. It specifically presents SP and leadership as precursors to SQM in their joint influence on TTC. Accordingly, this research bridges technology, strategy and leadership research and provides a broader picture of technology transfer that encompasses the joint role of different processes in firms’ TTC.

There are numerous studies concerning the key success factors for technology transfer performance, but little empirical research has been conducted on technology absorptive capacity. In the real world, firms cannot successfully assimilate and apply external knowledge without greater absorptive capacity. It is worthwhile exploring the critical factors of absorptive capacity through its impact on transfer performance. Results reveal significant associations between technology absorptive capacity and the critical factors – technology diffusion channels, interaction mechanisms, and R&D resources. Organizational cultures impact on interaction mechanisms, R&D resources, absorptive capacity and transfer performance. Different organizations will experience different technology transfer performance. Focuses explicitly on technology absorptive capacity within the field of empirical technology transfer research. The findings are important for management practice, especially for firms carrying out technology transfer in developing countries.

Based on theories of organizational learning and strategic considerations, this study aims to develop a strategic contingency model for technology alliance and identify how alliance‐specific factors, strategic factors, and organizational capability factors influence firms to acquire competencies and competitive advantages through technology alliance.

A six‐page, 94‐item survey questionnaire was developed and mailed to top‐level managers of the semiconductor firms in Taiwan. A total of 63 valid responses were received.

The study results indicate that firms with higher absorption orientation, higher risk reduction orientation, higher R&D scale economy orientation, and higher top management team experiences tend to perform better in acquiring competitive advantages. In addition, the strategic fit between strategic factors, organizational capability factors and technology alliance choice could lead firms to better competitive advantage.

Although the results of this study are fruitful, several suggestions could be made for academicians and business practitioners. First, the respondent rate of this study is low and could be improved. Second, in addition to the strategic contingency model as developed in this study, more research factors could be further investigated. Third, more case studies could be conducted to reconfirm the results of this study.

The major contribution of this study is to investigate what critical factors would influence the choice of a technology alliance model, and what effects the influencing factors have on the relationship between a technology alliance model and the intended competency development. The results of this study provide very important references for academicians and practitioners to investigate the effectiveness of technology alliance.

The purpose of this study is to determine the relationships between technology transfer, innovation and firm performance.

The relationship between technology transfer, innovation and firm performance is examined by using data obtained from 252 Turkish export firms, which are among the top 1,000 firms in terms of export volume in Turkey. To examine these relationships, a theoretical framework is empirically tested using structural equation modeling and tested via an empirical study of Turkish export companies.

The results of this study can benefit policymakers in government at the national level and company decision-makers at the firm level. Furthermore, an understanding of the relationship between technology transfer, innovation and firm performance may help firms to make correct technology transfer decisions and focus on the correct type of innovation to increase firm performance in practice. The findings indicate the positive effects of technology transfer on innovation and firm performance. In addition, innovation mediates the relationship between technology transfer and firm performance in Turkish export companies. This study suggests that decision-makers should transfer the right technology because well-realized technology transfers lead to the improvement of corporate innovation capacities and improvement of firm performances for export companies.

There is no study that fully examined the relationship between technology transfer, innovation and firm performance. The proposed literature-based theoretical framework in this study is novel for Turkish export companies.

Extant research on strategic alliances has relied mainly on case and survey methodologies to examine strategic, structural and operational issues in alliance relationships. Demonstrates that experimental methodology can usefully be employed to examine important strategic and behavioural issues in ongoing alliances. Reports on an experiment involving role‐playing among 221 managers which was conducted to investigate determinants of satisfaction and continuity in a hypothetical marketing alliance. Indicates that alliance satisfaction and continuity are influenced positively by a partner′s commitment, competence and strategic compatibility. Finds commitment to be the strongest determinant of both satisfaction and continuity. Discusses implications of the findings and methodology employed and suggests future research directions.

This paper underscores how organizational ambidexterity and organizational innovation play differentiated roles in the subsidiary reverse knowledge transfers (RKT). The authors argue that both organizational ambidexterity and organizational innovation play a positive but differentiated role in the RKT process in that the former positively influences subsidiary knowledge creation, whereas the latter positively influences subsidiary knowledge transfers.

Data were collected from 289 foreign subsidiaries operating in Brazil. Hypotheses were developed and tested by applying partial least squares structural equation modeling.

The results supported the hypotheses and showed that organizational ambidexterity promotes knowledge creation, and that organizational innovation facilitates knowledge transfers.

The paper offers implications with regard to drivers of subsidiary investments and actions of subsidiary managers vis-à-vis the subsidiary objectives of knowledge creation and/or transfers.

Showing the different roles of organizational ambidexterity and organizational innovation, this paper reveals some underlying mechanisms of the RKT process and contributes by explaining the competitive heterogeneity of subsidiaries, with impacts on subsidiary management’s evolutionary and resource dependence perspective.

This study aims to investigate the degree to which trust influences job satisfaction and job performance by building on research in the organizational sciences about the relationships between interpersonal trust relationships, cognitive empowerment, job performance and job satisfaction. This study's primary research question is: What factors contribute to job satisfaction and job performance?

Data are collected through a field survey. The data set has 738 responses from employees who work in the financial sector in Turkey. Structural equation modelling was used to validate the hypotheses.

This study's main findings are that when considering job satisfaction and job performance, cognition-based trust (CBT) has a strong influence on both constructs, whereas affect-based faith has a medium effect on job satisfaction and no significant effect on job performance.

In an organization where trust is established, knowledge exchange will be facilitated and knowledge management will be done correctly. Therefore, trust is a critical factor for knowledge management. On the other hand, knowledge is an important key factor for job performance. Trust has two parts: affect-based trust and CBT. Psychological empowerment has four variables: impact, competence, meaningfulness and self-determination. This study aims to investigate the relationships between psychological empowerment, trust, job satisfaction and job performance.

This paper aims to define a conceptual framework for transforming Big Data into organizational value by focussing on the perspectives of service science and activity theory. In coherence with the agenda on evolutionary research on intellectual capital (IC), the study also provides momentum for researchers and scholars to explore emerging trends and implications of Big Data for IC management.

The paper adopts a qualitative and integrated research method based on a constructive review of existing literature related to IC management, Big Data, service science and activity theory to identify features and processes of a conceptual framework emerging at the intersection of previously identified research topics.

The proposed framework harnesses the power of Big Data, collectively created by the engagement of multiple stakeholders based on the concepts of service ecosystems, by using activity theory. The transformation of Big Data for IC management addresses the process of value creation based on a set of critical dimensions useful to identify goals, main actors and stakeholders, processes and motivations.

The paper indicates how organizational values can be created from Big Data through the co-creation of value in service ecosystems. Activity theory is used as theoretical lens to support IC ecosystem development. This research is exploratory; the framework offers opportunities for refinement and can be used to spearhead directions for future research.

The paper proposes a framework for transforming Big Data into organizational values for IC management in the context of entrepreneurial universities as pivotal contexts of observation that can be replicated in different fields. The framework provides guidelines that can be used to help organizations intending to embark on the emerging paradigm of Big Data for IC management for their competitive advantages.

The paper’s originality is in bringing together research from Big Data, value co-creation from service ecosystems and activity theory to address the complex issues involved in IC management. A further element of originality offered involves integrating such multidisciplinary perspectives as a lens for shaping the complex process of value creation from Big Data in relationship to IC management. The concept of how IC ecosystems can be designed is also introduced.

The purpose of this paper is to critically analyze the case of selective industrial policies for the automotive industry in Thailand.

Founding on previous literature and official government documents, the authors describe the implemented policies, dividing them into four phases according to the main trend they followed. The authors suggest results the policies have or have not reached by analyzing the current state of the sector.

The main point is that selective policies implemented in the country were successful in helping the development of the sector as a whole, contributing to the role of Thailand as main actor in the international market. However, such policy initiatives were not able to solve some of the main issues of the automotive sector in the country related to local development, such as the technology dependence on foreign (mainly Japanese) firms and the weakness of local suppliers.

The authors frame the development of the automotive sector in a twofold perspective: on one hand, the international/exogenous factors and, on the other hand, the role of policy. The authors interpret the effects of selective industrial policy under the lens on both evolution and growth of the sector per se and on the enhancement of local capabilities. The work shows that the results do not go in the same direction.

Despite increased interest in headquarters (HQ) and their activities, we still lack a comprehensive understanding of the drivers of HQ relocations and their consequences. We seek to address this gap by examining whether HQ relocations are primarily driven by cost-reduction or value-creation motives, whether these motivations vary by HQ type and how these relocation patterns vary over time. We explore these questions on the basis of a unique hand-collected database of 227 HQ relocations in Europe between 2000 and 2012. Our findings illustrate that different types of HQ units play their orchestrating role in different ways and that their relocations are driven by different motives. Furthermore, our data suggest that although all types of HQ units are increasingly mobile, the implications of relocations for the MNC may differ considerably by HQ type. These findings contribute to a more fine-grained understanding of the drivers of HQ relocations and open up various new avenues for future research on HQ relocation and the role of HQ units in the orchestration of MNCs’ internal networks.